PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,679 words searched).

  1. and his ears . MOT · eng_british_Manchester_II/liz02a.cha, line 698 · Liz 1;11
  2. yeah there's his ears . MOT · eng_british_Manchester_II/liz02a.cha, line 710 · Liz 1;11
  3. great big ears . MOT · eng_british_Manchester_II/liz02a.cha, line 757 · Liz 1;11
  4. great big ears and little eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 763 · Liz 1;11
  5. oh: are you going to put some ears on ? MOT · eng_british_Manchester_II/liz02a.cha, line 1156 · Liz 1;11
  6. some pointy ears . MOT · eng_british_Manchester_II/liz02a.cha, line 1233 · Liz 1;11
  7. there's his ears . MOT · eng_british_Manchester_II/liz02a.cha, line 1261 · Liz 1;11
  8. and ears . MOT · eng_british_Manchester_II/liz02a.cha, line 1326 · Liz 1;11
  1. MOTarms .
    MOToh yes I won't [: willn't] forget the buttons .
    MOT*MOT: and his ears .
    MOTand teddy's eyes .
    MOTwhat else does he need ?
  2. MOTwhat else does teddy need ?
    CHIears .
    MOT*MOT: yeah there's his ears .
    MOThe's got some eyes .
    MOTshall we give him a nose ?
  3. MOTand small arms .
    CHImouse .
    MOT*MOT: great big ears .
    CHImouse .
    MOTyeah .
  4. CHImouse .
    MOTyeah .
    MOT*MOT: great big ears and little eyes .
    MOTand a pointy nose .
    MOTlike that ?
  5. MOTare you going to draw some more ?
    MOTwhat're you going to draw ?
    MOT*MOT: oh: are you going to put some ears on ?
    CHItable .
    CHIxxx .
  6. MOTI'm glad you think it looks like a cow .
    MOTthere we go .
    MOT*MOT: some pointy ears .
    CHImouth .
    CHImouth .
  7. MOTokay .
    CHIboy there .
    MOT*MOT: there's his ears .
    MOTand mouth .
    MOTand a fringe .
  8. MOTsome noses .
    MOTeyes .
    MOT*MOT: and ears .
    MOTlittle tufty hair .
    MOTthis one's got dark eyes .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Liz eng_british_Manchester_II4.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679884.76

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. ears8 · 100.0%